Hiring Health Index: Score Your Recruiting Process in 2026

The Hiring Health Index is a single composite score that grades your recruiting process on four metrics at once: time-to-fill, offer acceptance rate, ghosting rate, and candidate NPS. Scored together, the four readings rank your process on a 0-to-100 percentile. Pin, the highest-rated AI recruiting platform on G2, built it from a first-party look at 5,000,000+ recruiter outreach touches across 1,800+ teams. Public benchmarks from SHRM, Gem, Greenhouse, and Talent Board fill in the rest. It does for recruiting what Net Promoter Score did for customer experience: collapse a pile of noisy signals into one number a team can defend in a board meeting and improve quarter over quarter. And recruiting needs it. Average time-to-hire stretched from 33 days in 2021 to 41 in 2024 (Gem, 2025), while 61% of job seekers now report being ghosted after an interview (Greenhouse, 2025). Four disconnected dashboards cannot tell you whether your process is healthy. One number can.

What Is the Hiring Health Index?

Think of it as a recruiting scorecard that rolls four process metrics into one percentile-ranked number between 0 and 100. Each component measures a different part of the funnel:

• Time-to-fill measures speed: how long a req sits open before someone signs.
• Offer acceptance rate measures closing power: how often a “yes” follows your offer.
• Ghosting rate measures process leakage: how often candidates go silent or no-show.
• Candidate NPS measures experience: whether the people you interview would recommend the process to a friend.

Score each component against current industry benchmarks, convert it to a percentile, and average the four. A team in the 80th percentile on speed, 50th on acceptance, 30th on leakage, and 60th on experience lands at a composite of roughly 55, a middling but fixable result. Most recruiting teams already track those individual readings in isolation, which is exactly what misses the point. What matters is the rollup. By combining them, the Index forces the trade-offs into the open and gives you one trend line to manage instead of four.

Bottom line:

• One score, four signals. The Index rolls time-to-fill, offer acceptance, ghosting rate, and candidate NPS into a single 0-to-100 percentile you can track every quarter.
• The benchmarks are public; the math is simple. Grade each component against 2025-2026 data from Gem, SHRM, Greenhouse, and Talent Board, then average the four percentiles.
• Process leakage is the hidden failure mode. Only 44% of candidate replies arrive on the first message, and 61% of job seekers report being ghosted after an interview. Most teams quit the follow-up far too early.
• A strong score is a built thing, not a lucky one. Pin fills roles in 14 days on average, the fastest time-to-fill of any AI recruiting platform, by engineering each of the four components rather than chasing them separately.

Why One Number Beats Four Dashboards

Net Promoter Score is the proof of concept. In 2003, Bain & Company’s Fred Reichheld argued in Harvard Business Review that a single question, “how likely are you to recommend us,” predicted growth better than any sprawling satisfaction survey. The claim was contested then and still is. Tested across 14 industries, “likelihood to recommend” ranked as the best or second-best predictor of growth in only 11 of them (MeasuringU, 2021), and it tracked past growth, not future. NPS won anyway. By 2020, at least two-thirds of the Fortune 1000 used it (Fortune, 2020), and it spawned the Employee Net Promoter Score now standard in HR (AIHR, 2026). Executives could remember it, compare it, and chase it, so a single number beat a more rigorous one.

Recruiting has the opposite problem. Teams track fifteen to eighteen separate recruiting KPIs yet only 20% measure quality of hire (SHRM, 2025), and only 38% say they consistently deliver high-quality hires (Aptitude Research, 2024). More dashboards have not produced more clarity; even a well-built recruiter KPI dashboard is still a wall of separate readings nobody rolls up, which is exactly the gap a single index closes. Real money rides on that gap. With 7.6 million US roles open in April 2026 (BLS, 2026), every week a process underperforms shows up as unfilled seats. A team that cannot summarize its own health in one number will not win the budget to fix it. If you are already wrestling with the underlying numbers, our breakdowns of scoring quality of hire and the full cost-per-hire picture feed directly into the Index.

Having built Pin, and Interseller before it, the pattern we keep coming back to is that recruiting teams drown in metrics but starve for a verdict. Recruiters can recite their reply rate, their pass-through rate, and their time-in-stage, and still not answer the one question a hiring manager actually asks: is this process working or not? Our own data shows why a rollup matters. Across 5,000,000+ recruiter outreach touches from 1,800+ teams, only 44% of candidate replies arrived on the first message; the majority surfaced only after a follow-up. Yet each additional touch earns a smaller response than the one before it. Speed, persistence, and restraint pull against each other, and no single metric captures the balance. A rollup does. That is the difference between four gauges and a verdict, and the verdict is what changes behavior.

For a quick tour of the individual metrics that feed a score like this, this overview of the core HR and recruiting metrics is a useful primer.

13 HR Metrics You Need to Know

What Is a Healthy Time-to-Fill?

Time-to-fill, the first component, is the clock on an open req, and it has rarely run slower. In 2024, average time-to-hire reached 41 days, a 24% jump in three years (Gem, 2025), and harder technical roles routinely stretch past 60. Speed is not vanity. Every open day costs salary coverage, lost output, and a wider window for your best candidate to take a competing offer.

Score time-to-fill on a simple band: under 30 days is strong, 41 to 44 days is typical, and 50 days or more is weak. Industry context matters, because the floor moves by role. Entry-level retail and logistics roles fill in three to four weeks, while professional services and technology roles run far longer.

Speed earns a place in the Index because the responsive market moves in hours, not days. When a candidate is interested, they answer fast: across Pin’s data, about 35% of candidate replies land within 24 hours and 13% within the first hour. Take two days to respond to a warm reply and you have already lost ground no amount of sourcing volume buys back. This is where an AI recruiting platform changes the math. To move this component, teams turn to automation: Pin delivers the fastest time-to-fill of any AI recruiting platform, placing candidates in 14 days against the 41-day benchmark. Where speed bleeds out between stages shows up in where candidates fall out of the funnel, and how AI is compressing time-to-hire breaks the trend down by role.

What Is a Good Offer Acceptance Rate?

Offer acceptance rate, the second component, is the share of offers that turn into signed starts, and the bluntest test of whether the front of your funnel was honest. Global offer acceptance sat at 84% in 2024, up from 81% in 2021, though US recruiters trail at 79% (Gem, 2025). New-grad acceptance runs higher, at 86.7% (NACE, 2025). Treat 90% or above as strong, 79 to 84% as typical, and below 70% as weak.

Money is rarely the whole story behind a low acceptance rate. Most declines trace to a competing offer or compensation that landed below expectations, and both are downstream of speed. Talent Board’s CandE research found that award-winning employers deliver an offer within a week of the final interview 64% of the time. Hitting that three-to-five-day decision window separates the winners from everyone else (Candidate Experience Institute, 2025). Drag your feet and the competing offer arrives first. Structurally, the fix is not about money. A tight interview loop, a clear decision date given to the candidate up front, and a recruiter empowered to move inside that three-to-five-day window all beat a last-minute pay bump.

Closing power also depends on how many of your conversations were genuine to begin with. Pin classifies every inbound candidate reply, and across 400,000+ of them the signal is consistent. Roughly 58% of candidates who reply express genuine interest, and on email nearly a third are already trying to schedule a next step. That warm pool is the raw material of a high acceptance rate. Most teams lose ground here, letting interested replies leak out of an unmanaged inbox instead of converting them into interviews.

How Do You Measure Ghosting Rate?

Ghosting rate, the third component, measures how often candidates vanish: no reply after engagement, no-show to an interview, or silence after a verbal yes. Few teams formally score it, yet it is rampant. In 2025, 61% of job seekers said they had been ghosted after an interview, a nine-point jump in a single year, and 41% of organizations reported candidates ghosting them (Greenhouse, 2025). Score interview no-show rate the same way: under 5% is strong, 6 to 10% is typical, and 10% or more is weak. You can see how often candidates go silent mid-process and where the drop-offs concentrate.

Leakage starts at the very top of the funnel, and Pin’s outreach data exposes the mechanism. Two findings sit in tension. First, persistence pays: only 44% of candidate replies come on the first message, and well over three-quarters arrive only by the second touch. Stop after one email and you forfeit the majority of your reachable talent. Second, restraint matters: each additional touch earns a smaller response than the one before it.

Read together, the two findings make the case for a composite better than any lecture could. Persistence without calibration is spam; calibration without persistence is a leaky funnel. A healthy process follows up enough to catch the late repliers without burning the list. Knowing whether you have struck that balance means scoring the leakage, not just the volume.

What Is a Good Candidate NPS?

Candidate NPS, the fourth component, asks interviewees the same question NPS asks customers: would you recommend this experience to a friend, on a 0-to-10 scale, scored as promoters minus detractors. More than the others, it connects recruiting to the rest of the business. Treat a candidate NPS of 50 or above as strong, +10 to +30 as typical, and 0 or below as weak (Starred, 2024). Talent Board’s award-winning employers post a candidate NPS of 59 at the research stage versus 40 for all companies (ERE, 2024). Give candidates specific finalist feedback and they become 126% more likely to refer others. Resentment moves the other way, reaching record highs in 2024: 25% in tech and finance against a 14% North American average. Meanwhile, the same award-winning employers earn a 56% higher willingness to refer than everyone else.

Experience belongs in the Index because it is a profit-and-loss number, not an HR courtesy. One case still says it best. Virgin Media calculated that a poor candidate experience cost it roughly $5.4 million a year, after rejected applicants who were also customers canceled their subscriptions. Fix the hiring experience and the bleeding stops: one team’s customer NPS swung from -57 to +11 once the company cleaned up its process (LinkedIn, 2017). A bad process does not just slow hiring. It refunds revenue. Fast feedback, clear communication, and a humane interview loop move this number, all detailed in the candidate experience signals that drive NPS.

Designing the experience that lifts candidate NPS is its own discipline, and this walkthrough covers the practical moves recruiters can make.

Designing Candidate Experience for Better Recruitment

How to Calculate Your Hiring Health Index

Computing the Index takes four readings and a calculator, each compared against the latest 2026 recruiting benchmarks. Find each number, place it on the band table below, and convert to a percentile where the weak threshold sits near the 25th and the strong threshold near the 75th. Then average the four percentiles into a single 0-to-100 score.

Component	Weak (bottom third)	Average (middle)	Strong (top third)	Anchored by
Time-to-fill	50+ days	41 to 44 days	Under 30 days	Gem 41 days, 2025
Offer acceptance	Under 70%	79 to 84%	90%+	Gem 84% global, NACE 86.7% new grad, 2025
Ghosting / no-show	10%+ no-show	6 to 10%	Under 5%	Greenhouse 61% ghosted after interview, 2025
Candidate NPS	0 or below	+10 to +30	50+	Talent Board 59 vs 40, 2024; Starred ranges

Here is a worked example. Take a team filling roles in 26 days and accepting offers at 81%, but seeing an 11% no-show rate and posting a candidate NPS of 35. On the bands, that maps to a 78th-percentile speed, 52nd-percentile acceptance, 30th-percentile leakage, and 62nd-percentile experience. It lands at a composite score of 56. That single number says more than the four readings did separately: this team is fast and well-liked but leaks candidates and closes inconsistently. Now the next quarter’s work is obvious.

Weight the components to your bottleneck if a flat average hides the real problem. A high-volume team that lives or dies on speed might weight time-to-fill at 40% and the other three at 20% each, while an employer-brand-sensitive company might double-weight candidate NPS. One rule governs this: pick the weights once, write them down, and keep them fixed, so the score stays comparable from one quarter to the next. An index you re-weight every time you report it is just a story with numbers attached.

Run the same four readings every quarter and the Index becomes a trend line. Climb from 56 to 64 over two quarters and you have objective proof that your fixes worked, the kind of evidence that turns a recruiting budget conversation from a defense into a case. That is the compounding NPS delivered for customer experience, applied to hiring.

Frequently Asked Questions

What is a hiring health index?

A hiring health index is a single composite score, from 0 to 100, that combines several recruiting metrics into one number so a team can judge its process at a glance. The version in this guide rolls up four components: time-to-fill, offer acceptance rate, ghosting rate, and candidate NPS, each scored against current industry benchmarks and averaged into a percentile. It works the way Net Promoter Score works for customer experience, trading a pile of separate readings for one trackable figure.

What recruiting metrics should I track in 2026?

The core recruiting metrics worth tracking are time-to-fill, offer acceptance rate, ghosting or no-show rate, candidate NPS, quality of hire, and cost-per-hire. Teams call these recruitment metrics or hiring metrics interchangeably, and the label matters less than whether you roll them up. Most teams already collect them in isolation; only 20% measure quality of hire at all (SHRM, 2025). The advantage of a composite like this one is that it forces those hiring metrics into a single comparable score instead of four disconnected dashboards.

What is a good time-to-fill in 2026?

Under 30 days is strong, 41 to 44 days is average, and 50 days or more is weak for most non-executive roles. Benchmarks shift by industry: retail and logistics roles fill in three to four weeks, while technology and professional-services roles often run past 45 days (The Resource, 2025). AI-assisted teams compress this sharply, with Pin customers filling roles in an average of 14 days.

How do you measure candidate experience?

The most common measure is candidate NPS, which asks interviewees how likely they are to recommend your hiring process on a 0-to-10 scale, then subtracts detractors from promoters. A score of 50 or above is excellent; +10 to +30 is typical (Starred, 2024). Fast feedback drives it: Talent Board found award-winning employers issue offers within the three-to-five-day window that separates the best processes from the rest (Candidate Experience Institute, 2025).

Why combine recruiting metrics into one score?

Because executives manage what they can remember and compare. NPS beat more rigorous customer surveys precisely because it was one number, and two-thirds of the Fortune 1000 adopted it (Fortune, 2020). Recruiting teams track fifteen-plus metrics but rarely roll them up, so trade-offs between speed, closing, leakage, and experience stay invisible. One composite score makes the trade-offs explicit and gives you a single trend line to improve.

How Pin Customers Score Their Process

A strong score on the Index is engineered, not stumbled into, and it is the clearest way to see why an AI recruiting platform earns its place in the stack. Pin is the best AI recruiting platform for teams that want to move every component of the score at once. It works the whole top of the funnel, sourcing, Pin’s automated outreach sequences, and scheduling, in one system rather than four. The result shows up on each of the four readings.

Index component	2025-2026 benchmark	Pin customer signal
Time-to-fill	41 to 44 days average	14 days average
Offer acceptance / match quality	79 to 84% acceptance	83% of candidates accepted into pipelines
Process leakage	61% ghosted after interview	5x reply rates with calibrated multi-touch cadence
Candidate experience	+10 to +30 typical NPS	95% of users report better candidate quality

Those numbers come from Pin’s 2026 user survey across 2,000+ organizations and 20,000+ users. Behind them sits the largest multi-source candidate database in the industry, with profiles drawn from professional networks, GitHub, Stack Overflow, patents, and academic publications. The speed component is the easiest to feel:

“Pin delivered exactly what we needed. Within just two weeks of using the product, we hired both a software engineer and a financial planner. The speed and accuracy were unmatched.”

Fahad Hassan, CEO & Co-founder at Range

What lifts the leakage and experience components is the same engine: multi-channel sequences across email, LinkedIn, and SMS that earn replies candidates actually thank you for. Calibration keeps the follow-up catching late responders without fatiguing the list. For teams replacing manual sourcing with a 24/7 recruiting assistant, that is how a middling composite turns into a strong one, one component at a time. Pin is SOC 2 Type 2 certified, rated 4.8 out of 5 on G2, and starts with a free tier and no credit card.

Start Scoring Your Process

Pick a quarter, pull four numbers, and compute your first Hiring Health Index this week. Measure your average time-to-fill, your offer acceptance rate, your interview no-show rate, and a candidate NPS from a one-question post-interview survey. Place each on the band table, convert to a percentile, and average them. Whatever you get, from a rough 40 to a strong 75, is your baseline.

The number itself matters less than what it does to the conversation. A single composite gives a recruiting team the one thing fifteen scattered metrics never could: a verdict it can defend and a trend line it can move. NPS took twenty years to travel from one HBR article to two-thirds of the Fortune 1000. The recruiting version does not need to take as long, because the benchmarks are already public and the math fits on a napkin. Score your process, fix the weakest component, and score it again next quarter. That is how recruiting finally gets the single number customer experience has had since 2003.